Kubernetes / Managing Kubernetes Pods and Deployments
Deployment Control
In this tutorial, you'll learn how to control and manage deployments in Kubernetes, including different strategies to update applications.
Section overview
4 resourcesCovers managing Kubernetes pods, replicas, and deployments.
Introduction
Welcome to the Kubernetes Deployment Control tutorial.
The primary goal of this tutorial is to provide an understanding of how to control and manage deployments in Kubernetes. Deployments are a key concept in Kubernetes which allow you to define the desired state of your application and Kubernetes works to maintain that state.
By the end of this tutorial, you will have learned:
- What Kubernetes deployments are and why they are important
- Different strategies to update applications in Kubernetes
- How to control and manage deployments
Prerequisites
- Basic understanding of Kubernetes and its architecture
- Familiarity with Docker and containerization
- Access to a Kubernetes cluster for hands-on practice
Step-by-Step Guide
What is a Kubernetes Deployment?
A Kubernetes Deployment is a resource object in Kubernetes that provides declarative updates for Pods and ReplicaSets. You describe the desired state in a Deployment, and the Deployment Controller changes the actual state to the desired state at a controlled rate.
Updating Deployments
There are two strategies for updating deployments:
1. Rolling Update: This is the default strategy which gradually replaces old pods with new ones.
2. Recreate: This strategy kills all existing pods before new ones are created.
Code Examples
Creating a Deployment
Here's an example of a Kubernetes Deployment. Save it as deployment.yaml:
# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
selector:
matchLabels:
app: nginx
replicas: 3
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
ports:
- containerPort: 80
This Deployment creates three nginx Pods.
Updating Deployments
Let's perform a rolling update to the new version of nginx, 1.16.1. You can do this by updating the image field in the Deployment spec:
kubectl set image deployment/nginx-deployment nginx=nginx:1.16.1
Summary
In this tutorial, we've covered how to control and manage deployments in Kubernetes, including different strategies to update applications. We've learned that Deployments are a key concept in Kubernetes that allow you to define the desired state of your application, and Kubernetes works to maintain that state.
Practice Exercises
- Create a Deployment with 2 replicas of the nginx:1.14.2 image and expose it on port 80.
- Update this Deployment to use the nginx:1.16.1 image instead.
- Scale this Deployment to use 5 replicas.
Solutions and explanations will be given in the following section.
Solutions to Practice Exercises
- Create a Deployment with 2 replicas of the nginx:1.14.2 image and expose it on port 80.
You can create the Deployment using the following command:
bash
kubectl create deployment nginx --image=nginx:1.14.2 --replicas=2
- Update this Deployment to use the nginx:1.16.1 image instead.
You can update the Deployment using the following command:
bash
kubectl set image deployment/nginx nginx=nginx:1.16.1
- Scale this Deployment to use 5 replicas.
You can scale the Deployment using the following command:
bash
kubectl scale deployment nginx --replicas=5
Now, you are ready to go forth and manage your own Deployments in Kubernetes! Enjoy the power of orchestration!
Need Help Implementing This?
We build custom systems, plugins, and scalable infrastructure.
Related topics
Keep learning with adjacent tracks.
Popular tools
Helpful utilities for quick tasks.
Latest articles
Fresh insights from the CodiWiki team.
AI in Drug Discovery: Accelerating Medical Breakthroughs
In the rapidly evolving landscape of healthcare and pharmaceuticals, Artificial Intelligence (AI) in drug dis…
Read articleAI in Retail: Personalized Shopping and Inventory Management
In the rapidly evolving retail landscape, the integration of Artificial Intelligence (AI) is revolutionizing …
Read articleAI in Public Safety: Predictive Policing and Crime Prevention
In the realm of public safety, the integration of Artificial Intelligence (AI) stands as a beacon of innovati…
Read articleAI in Mental Health: Assisting with Therapy and Diagnostics
In the realm of mental health, the integration of Artificial Intelligence (AI) stands as a beacon of hope and…
Read articleAI in Legal Compliance: Ensuring Regulatory Adherence
In an era where technology continually reshapes the boundaries of industries, Artificial Intelligence (AI) in…
Read article